CA2922108A1 - Systemes et methodes de prediction de la fiabilite de l'extraction miniere - Google Patents

Systemes et methodes de prediction de la fiabilite de l'extraction miniere Download PDF

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CA2922108A1
CA2922108A1 CA2922108A CA2922108A CA2922108A1 CA 2922108 A1 CA2922108 A1 CA 2922108A1 CA 2922108 A CA2922108 A CA 2922108A CA 2922108 A CA2922108 A CA 2922108A CA 2922108 A1 CA2922108 A1 CA 2922108A1
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failure
dtcs
population
failures
generated
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CA2922108C (fr
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Karamjit Singh
Gautam Shroff
Puneet Agarwal
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Tata Consultancy Services Ltd
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Tata Consultancy Services Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/079Root cause analysis, i.e. error or fault diagnosis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0706Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
    • G06F11/0709Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0751Error or fault detection not based on redundancy
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0766Error or fault reporting or storing
    • G06F11/0772Means for error signaling, e.g. using interrupts, exception flags, dedicated error registers
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • G06N5/046Forward inferencing; Production systems
    • G06N5/047Pattern matching networks; Rete networks
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/008Registering or indicating the working of vehicles communicating information to a remotely located station

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Quality & Reliability (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Computer Hardware Design (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Analysis (AREA)
  • Computational Linguistics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Debugging And Monitoring (AREA)

Abstract

Il est décrit des systèmes et procédés de prévision de la fiabilité dexploitation minière qui permettent la prédiction de défaillances inattendues et émergentes futures sans attendre le début de défaillances réelles en grand nombre. Des ensembles de codes de trouble de diagnostic discriminatifs de machines branchées dans une population sont identifiés avant la défaillance des parties connexes. Un modèle de dépendance temporelle et conditionnelle basé sur la dépendance temporelle entre la défaillance des parties de données de défaillance passées et des ensembles de codes de trouble de diagnostic discriminatifs identifiés est généré. Des défaillances futures sont prévues daprès la dépendance temporelle et conditionnelle, et lanalyse de la cause profonde des défaillances futures prévues de la fiabilité dexploitation minière est effectuée. La probabilité de défaillance est calculée daprès loccurrence et labsence de codes de trouble de diagnostic. Lanalyse de la cause profonde permet lidentification dun sous-ensemble de la population lorsquune alerte lointaine est générée, ainsi que lorsquune alerte lointaine nest pas générée.
CA2922108A 2015-10-15 2016-02-29 Systemes et methodes de prediction de la fiabilite de l'extraction miniere Active CA2922108C (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN3922/MUM/2015 2015-10-15
IN3922MU2015 2015-10-15

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CA2922108A1 true CA2922108A1 (fr) 2017-04-15
CA2922108C CA2922108C (fr) 2023-03-07

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US (1) US10248490B2 (fr)
EP (1) EP3156870B1 (fr)
JP (1) JP6716297B2 (fr)
AU (1) AU2016201425B2 (fr)
CA (1) CA2922108C (fr)
MX (1) MX363820B (fr)

Families Citing this family (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10102055B1 (en) * 2016-03-22 2018-10-16 EMC IP Holding Company LLC Data driven converged infrastructure components evaluation
WO2018069853A1 (fr) 2016-10-12 2018-04-19 Harman International Industries, Incorporated Systèmes et procédés de détection de panne prédictive dans un véhicule
US11410054B2 (en) * 2017-03-15 2022-08-09 Kyndryl, Inc. Cognitive prediction of problematic servers in unknown server group
EP3444724B1 (fr) * 2017-08-18 2023-12-20 Tata Consultancy Services Limited Procédé et système de surveillance de la santé et d'identification de signature de défaut
US11113168B2 (en) * 2018-03-09 2021-09-07 Toyota Motor Engineering & Manufacturing North America, Inc. Distributed architecture for fault monitoring
GB201808881D0 (en) * 2018-03-27 2018-07-18 We Predict Ltd Vehicle diagnostics
CN110362849B (zh) * 2018-04-09 2025-01-10 卡明斯公司 基于使用的动力系统/机器部件的故障率估计
US11010992B2 (en) 2018-04-09 2021-05-18 Ford Global Technologies, Llc In-vehicle surveys for diagnostic code interpretation
CN108572552B (zh) * 2018-04-24 2021-04-27 杭州电子科技大学 一种基于故障报警的混合无源/h∞的混杂控制方法
US11335137B2 (en) * 2019-04-05 2022-05-17 Conduent Business Services, Llc Trained pattern analyzer for roll out decisions
CN110345986B (zh) * 2019-06-11 2020-08-25 北京航空航天大学 一种基于随机共振和任务迁移的多应力测试方法
JP7145821B2 (ja) * 2019-07-05 2022-10-03 株式会社日立製作所 故障確率評価システムおよびその方法
CN110795260B (zh) * 2019-09-10 2023-08-08 武汉攀升鼎承科技有限公司 一种智能客户关怀系统
CN110826179B (zh) * 2019-09-29 2023-07-11 贵州电网有限责任公司 一种智能变电站继电保护实时可靠性预测方法
CN111352840B (zh) * 2020-02-28 2023-08-15 抖音视界有限公司 上线行为风险评估方法、装置、设备和可读存储介质
JP7447855B2 (ja) * 2021-03-23 2024-03-12 トヨタ自動車株式会社 異常診断装置
CN112925806B (zh) * 2021-04-14 2023-07-25 中国人民解放军海军航空大学岸防兵学院 基于关联规则的性能退化特征参数提取方法、系统、介质及设备
CN113159608B (zh) * 2021-05-06 2022-04-22 广东鹰视能效科技有限公司 一种基于预警识别的预警异常处理方法和系统
US12321947B2 (en) 2021-06-11 2025-06-03 Dell Products L.P. Method and system for predicting next steps for customer support cases
US12387045B2 (en) 2021-06-11 2025-08-12 EMC IP Holding Company LLC Method and system to manage tech support interactions using dynamic notification platform
CN115526369B (zh) * 2021-06-25 2023-07-14 东风本田发动机有限公司 汽车零件的失效预测方法、装置、计算机设备和存储介质
US11914358B2 (en) 2021-09-01 2024-02-27 Ford Global Technologies, Llc Methods and systems for anomaly detection of a vehicle
US12189383B2 (en) 2021-09-01 2025-01-07 Ford Global Technologies, Llc Methods and systems for estimating a remaining useful life of an asset
US11941641B2 (en) 2021-10-15 2024-03-26 EMC IP Holding Company LLC Method and system to manage technical support sessions using historical technical support sessions
US12008025B2 (en) 2021-10-15 2024-06-11 EMC IP Holding Company LLC Method and system for augmenting a question path graph for technical support
US11809471B2 (en) 2021-10-15 2023-11-07 EMC IP Holding Company LLC Method and system for implementing a pre-check mechanism in a technical support session
US11915205B2 (en) 2021-10-15 2024-02-27 EMC IP Holding Company LLC Method and system to manage technical support sessions using ranked historical technical support sessions
US20230236919A1 (en) * 2022-01-24 2023-07-27 Dell Products L.P. Method and system for identifying root cause of a hardware component failure
CN115278741B (zh) * 2022-06-15 2024-06-18 清华大学 一种基于多模态数据依赖关系的故障诊断方法和装置
US12585761B2 (en) * 2022-06-30 2026-03-24 Citrix Systems, Inc. System and method for combining cyber-security threat detections and administrator feedback
US12223335B2 (en) 2023-02-22 2025-02-11 Dell Products L.P. Framework to recommend configuration settings for a component in a complex environment
CN121055323B (zh) * 2025-11-03 2026-02-10 国能四川天明发电有限公司 应用人工智能的智慧电厂故障预警方法及系统

Family Cites Families (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SE512140C2 (sv) * 1997-04-01 2000-01-31 Volvo Ab Diagnossystem och diagnosfunktionsmodul i ett motorstyr system
US6799154B1 (en) * 2000-05-25 2004-09-28 General Electric Comapny System and method for predicting the timing of future service events of a product
US7447642B2 (en) * 2002-11-07 2008-11-04 International Business Machines Corporation Location based services revenue sharing and cost offsetting
JP2004272375A (ja) * 2003-03-05 2004-09-30 Mazda Motor Corp 遠隔故障予測システム
US7260501B2 (en) 2004-04-21 2007-08-21 University Of Connecticut Intelligent model-based diagnostics for system monitoring, diagnosis and maintenance
US7239946B2 (en) * 2004-10-25 2007-07-03 General Motors Corporation Vehicles fault diagnostic systems and methods
US7672811B2 (en) * 2005-06-17 2010-03-02 Gm Global Technology Operations, Inc. System and method for production system performance prediction
US20080059120A1 (en) 2006-08-30 2008-03-06 Fei Xiao Using fault history to predict replacement parts
US20080177683A1 (en) * 2007-01-23 2008-07-24 No Brian Y Method and apparatus for mobile intelligence
JP5193533B2 (ja) * 2007-09-04 2013-05-08 株式会社東芝 遠隔監視システム及び遠隔監視方法
JP2009110281A (ja) * 2007-10-30 2009-05-21 Toshiba Corp 医用機器故障解析装置、医用機器故障解析方法、及び医用機器故障解析システム
US8909416B2 (en) * 2008-04-14 2014-12-09 Innova Electronics, Inc. Handheld scan tool with fixed solution capability
US9646432B2 (en) * 2008-04-14 2017-05-09 Innova Electronics Corporation Hand held data retrieval device with fixed solution capability
JP4810552B2 (ja) * 2008-04-25 2011-11-09 株式会社東芝 故障確率算出に用いられる生存曲線を生成する装置および方法
US8498776B2 (en) * 2009-11-17 2013-07-30 GM Global Technology Operations LLC Fault diagnosis and prognosis using diagnostic trouble code markov chains
US8676432B2 (en) 2010-01-13 2014-03-18 GM Global Technology Operations LLC Fault prediction framework using temporal data mining
JP2011145846A (ja) * 2010-01-14 2011-07-28 Hitachi Ltd 異常検知方法、異常検知システム、及び異常検知プログラム
US8433472B2 (en) 2010-08-04 2013-04-30 GM Global Technology Operations LLC Event-driven data mining method for improving fault code settings and isolating faults
US8463485B2 (en) * 2010-11-10 2013-06-11 GM Global Technology Operations LLC Process for service diagnostic and service procedures enhancement
US20120233112A1 (en) * 2011-03-10 2012-09-13 GM Global Technology Operations LLC Developing fault model from unstructured text documents
US8543280B2 (en) * 2011-04-29 2013-09-24 Toyota Motor Engineering & Manufacturing North America, Inc. Collaborative multi-agent vehicle fault diagnostic system and associated methodology
WO2012157040A1 (fr) * 2011-05-13 2012-11-22 株式会社日立製作所 Système pour la prédiction de la durée de vie des pièces détachées et procédé pour la prédiction de la durée de vie des pièces détachées
US8732112B2 (en) * 2011-12-19 2014-05-20 GM Global Technology Operations LLC Method and system for root cause analysis and quality monitoring of system-level faults
SE536393C2 (sv) * 2012-01-13 2013-10-08 Scania Cv Ab System och metod för tillhandahållande av diagnostisk felinformation på basis av ett flertal felkoder
JP2014002660A (ja) * 2012-06-20 2014-01-09 Hitachi Ltd 保守部品生産管理装置及び保守部品生産管理方法
US9892568B2 (en) * 2012-08-20 2018-02-13 Innova Electronics Corporation Method and system for determining the likely operating cost for a particular type of vehicle over a defined period
US9384597B2 (en) * 2013-03-14 2016-07-05 Telogis, Inc. System and method for crowdsourcing vehicle-related analytics
US20140277906A1 (en) * 2013-03-17 2014-09-18 Larkin Hill Lowrey Method and system for monitoring vehicles
CA2868573C (fr) * 2013-10-24 2017-09-12 Alldata Llc Systemes et procedes de diagnostic de vehicule
CA2897308A1 (fr) * 2014-07-15 2016-01-15 Tata Consultancy Services Limited Estimation de cout de garantie fondee sur le calcul d'un nombre projete de defaillances de produits
US10164300B2 (en) * 2015-12-16 2018-12-25 GM Global Technology Operations LLC Sensing feature on fuse element for detection prior to fuse open
US10589749B2 (en) * 2017-02-23 2020-03-17 Tata Consultancy Services Limited Method and system for early detection of vehicle parts failure

Also Published As

Publication number Publication date
AU2016201425A1 (en) 2017-05-04
US20170109222A1 (en) 2017-04-20
EP3156870A1 (fr) 2017-04-19
US10248490B2 (en) 2019-04-02
CA2922108C (fr) 2023-03-07
JP2017076360A (ja) 2017-04-20
EP3156870B1 (fr) 2022-06-01
BR102016005478A2 (pt) 2017-05-02
MX2016003249A (es) 2017-04-14
MX363820B (es) 2019-04-04
AU2016201425B2 (en) 2018-01-18
JP6716297B2 (ja) 2020-07-01

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